Senior Vice President, Data Management & Quantitative Analysis Manager

The Bank of New York Mellon-posted 2 months ago
Full-time • Senior
Pittsburgh, PA
5,001-10,000 employees
Securities, Commodity Contracts, and Other Financial Investments and Related Activities
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At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We're seeking a future team member for the role of Senior Vice President, Data Management & Quantitative Analysis Manager to join our Structured Debt Client Platform team. This role is located in Houston, TX or Pittsburgh, PA.

  • Manage a large team of data management and/or quantitative analysis professionals who prepare data sets and conduct statistical, financial, and econometric modeling for internal or external clients.
  • Oversee data management and/or quantitative analysis activities for the assigned area, providing insights and implementing process improvements.
  • Manage data vendor relationships, system costs, and contracts, and oversee new data-related technology enhancements and implementations.
  • Recruit, direct, motivate, and develop staff, ensuring compliance with Bank standards and best practices, and deliver reports and presentations to senior leaders.
  • Bachelor's degree or the equivalent combination of education and experience.
  • 5-7 years of total work experience with at least 0-1 years in management preferred.
  • Experience in financial services preferred.
  • Proven ability to manage large teams and coordinate resources effectively.
  • Strong communication skills with the ability to translate technical concepts to non-technical audiences.
  • Experience in quantitative finance and technology preferred.
  • Strong skills in SQL, querying, macro development, and familiarity with programming or system configuration to set up sophisticated models or algorithms.
  • Highly competitive compensation
  • Benefits and wellbeing programs
  • Access to flexible global resources and tools
  • Generous paid leaves, including paid volunteer time
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